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Using robust regression methods for improve the accuracy of the estimating of observational models parameters). Regression analysis (RA) is widely used in the prediction and assessment of model parameters. For many years
Interaction of immune response mediator genes in a predisposition to juvenile idiopathic arthritis reaction. The gene-gene interactions were studied using the multifactor dimensionality reduction algorithm
Selection of a Geostatistical Method to Interpolate Soil Properties of the State Crop Testing Fields using Attributes of a Digital Terrain Model at a field scale—ordinary kriging (OK), regression kriging with multiple linear regression drift model
RESEARCH OF DEPENDENCE OF THE MAIN MACROECONOMIC INDICATORS BY MEANS OF THE CORRELATION AND REGRESSION ANALYSISUsing the correlation and regression analysis the research of relations between macroeconomic
The Use of Deterministic Mathematical Modeling for the Prediction of Dynamic Geophysical Processes, an approach of dynamic regression modeling (DRM) was used. The simulation of the Earth's pole's polar
Using adaptive regressions for analysis of server time parameters this goal, we used an approach of dynamic adaptive regression modeling (DARM-approach), represented
Modeling of the Koch-type wire dipole© 2017 Elsevier Inc. Regression and functional models of the main electrodynamic parameters for a
SIMPLE MORTALITY PROGNOSTIC RISK CALCULATOR FOR PATIENTS WITH ACUTE CORONARY SYNDROME, age, HR and MI. The multifactor regression model based the was created and showed high likehood ratio
SIMPLE MORTALITY PROGNOSTIC RISK CALCULATOR FOR PATIENTS WITH ACUTE CORONARY SYNDROME, age, HR and MI. The multifactor regression model based the was created and showed high likehood ratio
Mathematical models application for mapping soils spatial distribution on the example of the farm from the North of Udmurt Republic of RussiaComparative analysis of soils geospatial modeling using multinomial logistic regression, decision
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